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促进人工智能技术与制造业应用“双向赋能”
Ke Ji Ri Bao· 2026-01-09 01:17
记者8日从工业和信息化部获悉,工业和信息化部、中央网信办、国家发展改革委等八部门联合印 发《"人工智能+制造"专项行动实施意见》(以下简称《意见》),促进人工智能科技创新与产业创新 深度融合、人工智能技术与制造业应用"双向赋能"。 在赋智升级方面,加快重点行业应用赋能,深入开展人工智能赋能新型工业化"深度行"活动;加速 全流程转型升级,深化智能工厂梯度培育,推动大模型技术深度嵌入生产制造核心环节;提升重点企业 应用水平,实施《制造业企业人工智能应用指南》,鼓励龙头企业、央国企等先行先试,深入实施中小 企业数字化赋能专项行动;推进重点区域推广应用,建设并开放一批"人工智能+制造"应用场景,打造 具备行业特色的创新高地;推动重点领域智能化升级,加强人工智能与信息通信网络协同,推动人工智 能与工业互联网平台融合赋能等。 在产品突破方面,推动智能装备迭代,推动人工智能技术融入大飞机、船舶等重大技术装备研发、 制造、运行,发展无人机等智能低空装备,开展搭载自动驾驶功能的智能网联汽车产品测试与安全评 估,有序推进产品准入和上路通行试点;加速智能终端升级,培育智能手机、电脑、平板、智能家居等 人工智能终端,推动具身智能产品 ...
滨州市财政局:数字赋能高效履职 助力财政高质量发展
Qi Lu Wan Bao· 2025-12-17 11:11
以"数"聚"财":加油站数字税控试点促履职精准有力。财政收入是财政职能履行的基石,针对行业税源 监控不精准、涉税风险防控难等问题,创新探索"以数治税"路径,取得显著成效。实现三大突破:一是 机制突破强协同。全省首创加油站数字税控试点,联动税务、大数据等部门及市县两级,构建协同共治 组织体系。二是技术突破智监控 。搭建数据采集平台实时获取交易关键数据,系统软件接入率100%, 硬件接入率达93.41%,实现税源监管从"人管"到"数管"跨越。三是模式突破树标杆。通过系统管税、协 同护税模式,推动行业纳税规范性提升,税收收入显著增长,"滨州模式"获全省推广。 齐鲁晚报·齐鲁壹点 通讯员 方丽丽 以"数"管"财":电子票据跨省报销试点促履职便捷高效。票据管理是财政履职的纽带,针对传统票据跨 省报销流程繁琐、效率低下等痛点,创新推进票据电子化改革。实现三大跃升:一是试点跃升纾困。聚 焦异地就医报销等痛点,争取成为全国首批试点城市,破解群众"垫资跑腿"难题。二是系统跃升筑基。 构建"账户链—票据链—资金链"协同的"数字桥"体系,完成25家医疗单位系统升级,成为全国唯一实现 二级以上公立医院全改造地市。三是服务跃升拓维。首 ...
中国保险行业十四五大盘点③:百万代理人的演化逻辑,指向何方?
Sou Hu Cai Jing· 2025-11-20 08:38
Core Insights - The transformation of the agent channel is a key theme in understanding the changes in the life insurance industry during the "14th Five-Year Plan" period [2] - The traditional agent model is facing significant challenges due to changing consumer demands, market environments, and the evolving roles of insurance institutions [2][7] - The future of the agent channel must be built on new capabilities that align with the current environment rather than merely patching the old framework [2][7] Market Dynamics - The population of individuals born in the 1980s and 1990s exceeds 700 million, making them the main customer group for the insurance industry [5] - The average disposable income per capita in China is projected to reach 41,314 yuan in 2024, reflecting a 5.1% real growth from the previous year [5] - The middle-income group in China has surpassed 400 million, indicating a growing market for insurance products [5] Consumer Behavior - The insurance awareness among the 80s and 90s generations is increasing, leading to a more rational approach to purchasing insurance for wealth accumulation, education, retirement planning, and family protection [5] - This demographic is characterized by higher education levels and significant family responsibilities, resulting in concentrated and clear insurance needs [5][6] Industry Challenges - The agent workforce has declined from a peak of 10 million to 2.6 million, with recruitment becoming increasingly difficult [2][6] - The traditional agent model is experiencing diminishing marginal returns, leading to high costs and low outputs, disrupting the balance of input-output relationships [2][6] Strategic Responses - Major insurance companies are investing heavily in two main areas: internal support capabilities, particularly in technology, and ecological integration capabilities [8][9] - The use of advanced digital marketing platforms and technologies like AI and big data is becoming standard among leading firms to enhance agent efficiency [8] - The shift from a single product sales model to comprehensive lifecycle service offerings is essential to meet the evolving needs of consumers [9] Future Agent Profile - The future agents are expected to be younger, more professional, and career-oriented, with a focus on providing comprehensive risk management and lifecycle planning services [11][12] - The transformation involves a shift from being mere salespeople to becoming risk management consultants and full lifecycle planners [12] - The industry is witnessing a significant push towards creating a sustainable and respected career path for agents, enhancing their professional identity [12] Performance Metrics - Despite a 70% reduction in agent numbers since peak levels, key performance indicators such as per capita productivity and new business value have shown significant growth, indicating a positive trend in agent performance [13]